Horticultural Flower Salvia Splendens Recognition Image Dataset

#image classification #object detection #pattern recognition #plant recognition #agricultural management #horticultural design #ecological monitoring
  • 500 records
  • 1.3G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

Currently, horticulture and agricultural management are facing challenges of diverse plant species and difficulty in recognition. Traditional manual recognition methods are time-consuming, labor-intensive, and prone to errors, while existing datasets often lack high-resolution images of certain specific flowers, leading to potential improvement in model recognition accuracy. The purpose of this dataset is to provide high-quality images of Salvia Splendens, addressing challenges in model recognition for this plant. Data collection uses a high-resolution camera in natural light environments, including images under different seasons, times, and weather conditions. Quality control is performed through multiple rounds of annotation and rigorous reviews by an experienced team of horticulturists to ensure data accuracy and consistency. The annotation team comprises 10 botany experts uniformly trained to ensure annotation consistency. Preprocessing includes color correction, size standardization, and background removal, with final storage in JPG format, organized and archived by time and location.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
flower_colorstringThe color of the flowers of Salvia farinacea (Mealycup Sage).
leaf_shapestringThe shape of the leaves of the plant.
plant_heightfloatThe overall height of the plant measured in meters.
bloom_periodstringThe period during which the Mealycup Sage blooms.
soil_typestringThe type of soil suitable for the growth of Mealycup Sage.
sun_exposurestringThe light conditions required for the Salvia farinacea.
plant_healthstringThe health condition of the plant at the time of capture.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the purpose of the Salvia Recognition Image Dataset?
The Salvia Recognition Image Dataset is used to improve the accuracy of plant recognition, especially in gardening and flowers applications.
What data modalities does the Salvia Recognition Image Dataset include?
This dataset includes image data modalities, focusing on the collection of visual information.
Which industry is this dataset primarily used in?
The Salvia Recognition Image Dataset is primarily used in the agriculture, forestry, and fisheries industry.
What are the benefits of using the Salvia Recognition Image Dataset?
Using this dataset can effectively improve plant recognition accuracy in gardening flowers, assisting practitioners in more accurately identifying and managing plants.
How can the Salvia Recognition Image Dataset be used for plant recognition research?
Researchers can apply machine learning techniques using this dataset to train models to recognize different types of plants, especially Salvia in gardening.

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Cite this Work

@dataset{Mobiusi2026,
  title={Horticultural Flower Salvia Splendens Recognition Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/47f16afe7943a00efd1524d76768e3ad},
  urldate={2026-02-04},
  keywords={horticultural flower recognition, Salvia Splendens images, agricultural dataset, plant recognition},
  version={1.0}
}

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